AI Meets Live Operations in a Single Industrial Workspace
Cognite Flows is reshaping industrial AI automation by giving plant teams a single-screen workspace that unifies AI-driven recommendations, operational data, and applications. Built on Cognite’s Industrial Knowledge Graph, the platform ties every data point and insight to live operating context, ensuring that what frontline users see reflects what is happening in the plant right now. Instead of juggling multiple siloed tools, operators and engineers can access workflows, alerts, and decision support in one environment tailored to their role. This tight plant data integration helps transform fragmented sensor streams, maintenance logs, and historical records into coherent, contextualized views of equipment and processes. The result is not just better visibility but more actionable insight, enabling teams to respond faster to anomalies, standardize best practices, and lay the groundwork for scalable industrial AI automation across production sites.
From Months to Days: App Development Acceleration with Agentic AI
A key differentiator of Cognite Flows is how it accelerates industrial app development. Using agentic AI coding tools and an AI-native architecture, developers can compose tailored AI workflow tools far more quickly than with traditional custom projects. Cognite reports that implementations which once took months can now be completed in days, significantly compressing time-to-value for industrial teams. Because these applications sit directly on top of live operational data, they avoid the overhead of bespoke integrations for every new use case. Instead, developers and partners can rapidly assemble interfaces, logic, and automations on a shared industrial data foundation. This app development acceleration allows operators to experiment with new AI-driven solutions, iterate based on user feedback, and scale what works across sites, all without the prolonged, high-risk projects that have historically slowed industrial software adoption.
Frontline-Centric Design Streamlines Industrial Workflows
Cognite Flows is explicitly designed for frontline operators as much as for central technical teams. Its unified interface reduces the need for engineers and plant staff to move between disconnected systems when managing both routine and urgent tasks. Data, AI recommendations, and workflow tools are all presented in one workspace, organized around how specific roles actually work, rather than how data is stored. This shift makes AI workflow tools directly usable in plants, refineries, and production facilities, addressing a long-standing gap between advanced analytics and day-to-day operations. By integrating live plant data with AI insights, operators can quickly validate recommendations against real conditions and act with greater confidence. For industrial organizations struggling to scale AI beyond pilots, this frontline focus represents a pragmatic path to operationalizing AI at the point of work, where it can deliver measurable improvements in efficiency and safety.
Capturing Expertise and Improving Asset Transparency
Early adopters are already demonstrating how Cognite Flows can convert domain expertise and raw data into practical, AI-enabled tools. Idemitsu is using the platform to capture specialist plant knowledge and long-accumulated experience in digital form. By leveraging real-time knowledge graphs, the company expects these applications to evolve into proactive AI agents capable of supporting complex operations, moving far beyond static dashboards. B. Braun, another Cognite customer, is using Flows to gain a unified and contextualized view of asset health across sites. Within four weeks, it refined how operational data is visualized and consumed, with near-instant UX updates driven by user feedback. These examples show how plant data integration, combined with AI-native design, can preserve critical know-how, enhance asset transparency, and empower industrial teams to make better decisions faster.
Low-Code AI for Complex Industrial Environments
The emergence of Cognite Flows signals a broader shift toward low-code and no-code styles of AI deployment in complex industrial settings. Rather than relying solely on horizontal enterprise tools, industrial organizations can now build domain-specific applications using AI-native components and pre-integrated plant data. Cognite highlights that more than 30% of its customers and partners are already enabled on Flows, including launch partners such as Radix, L&T Technology Services, and RoviSys. For a global pharmaceutical customer, the platform has reportedly cut the time required to deliver automated AI workflows, underlining its potential as a reusable foundation for industrial AI automation. By reducing development friction and centering solutions on live operational context, Cognite Flows helps industrial teams move from isolated proofs of concept to repeatable, scalable AI workflows that deliver consistent operational gains.